My Most Embarrassing Video 😭 Dots Edited It With AI Agents!
My Most Embarrassing Video 😭 Dots Edited It With AI Agents! #dots #openai #aiagents #agi #ad
37 stories
My Most Embarrassing Video 😭 Dots Edited It With AI Agents! #dots #openai #aiagents #agi #ad
We spent over 1,000 hours hands-on testing Google's new frontier model: Gemini 4 Argon. With an industry-leading 1-million-token output limit and deep long horizon reasoning, Argon doesn’t just take in massive context—it delivers massive, verified solutions without losing the plot.
Discover Voice AI agents: https://morak.ai Google just launched Gemini 4 Argon, built from the ground up for deep, long-horizon reasoning and autonomous systems engineering. In this video, I take Argon into Google Antigravity to see how it handles complex technical post-mortems.
ChatGPT answers questions… but how do we build AI systems that can actually complete tasks? What should I explain next — Comment below! 👇 In this video, we're exploring LangChain from scratch using one practical real-world example.
Originally published on agent5.news. A single checkbox buried in your Mac's System Settings can expose your private messages, your email, your browsing history, and years of files to any application you install.
Watch the full keynote here → https://g.dev/ai/gemini-at-work-keynote Luke Schlangen and Smitha Kolan break down the updates from Gemini at Work 2026: * One Persistent Cloud Agent: Shared memory for chat, code, background jobs, and Gemini Omni across web, mobile, desktop, CLI, browser, Workspace,…
Genkit → https://g.dev/ai/build-agentic-apps Flutter → https://g.dev/flutter/build-for-any-screen Go → https://g.dev/cloud/build-with-go In this episode of The Agent Factory, Luke Schlangen sits down with Abdallah Shaban, Outbound Product Manager for Frameworks and Languages at Google Cloud.
Learn more about Harness → https://g.dev/ai/harness Get started with Harness on the Google Cloud Marketplace today → https://g.dev/cloud/marketplace Learn more about Google Gemini → https://g.dev/ai/learn-more-gemini Meeting developers directly where they work eliminates context switching and…
AI agent costs grow faster than the work itself, and caching is how you bring them back down. Gareth Bland, Chief Data Scientist at Microsoft, explains. From our full conversation on TokenOps (https://youtu.be/B4yovi_znxE). #AIAgents #TokenOps
[Codelab] Author LookML with Agentic Coding Tools → https://g.dev/ai/looker-agentic-lookml Learn about the 5 core tools in the Agentic Looker Developer Stack: Looker Skills, Looker CLI, Looker Managed MCP server, MCP-toolbox-for-databases, and the Looker VSCode Extension.
Code for this episode → https://g.dev/cloud/repositories Gemini Live API docs → https://g.dev/cloud/gemini-live CDP Page commands → https://g.dev/cloud/devtools-protocol How does an AI voice agent control a real browser while keeping the conversation going?
AI agent costs don't grow in step with the work. As an agent takes more turns, context piles up and uncached input costs rise on a quadratic curve: in Gareth Bland's example, an agent that takes four times as many turns costs sixteen times as much.
I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.
I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.
Stop prompting one-by-one. 🛑 When Google Developer Experts built an AI race coach at Sonoma Raceway, they didn't rely on single prompts. They orchestrated a synchronized ADK agent swarm on a Pixel 10: one agent ingesting 10Hz telemetry at the edge, while Gemma 4 fired zero-latency audio coaching…
A senior OpenAI safety researcher quits and raises a serious warning about the direction AI is heading. 😳 At almost the same time, the U.S. government and major AI companies are discussing a new approach to AI safety. Coincidence? Or are we reaching a much bigger turning point?
AI ఇక మన questions కి answers ఇవ్వడం మాత్రమే కాదు… మన కోసం WORK చేయబోతోంది. 🤯 OpenAI DevDay 2026 తర్వాత AI use చేసే విధానంలో ఒక interesting shift కనిపిస్తోంది. Prompt → Answer అనే traditional AI experience నుంచి… Goal → AI works on it → Task gets completed అనే direction వైపు move అవుతున్నాం.
You can check out Devin Ai here:-https://get.aspr.app/SH21SY What can Devin, Cognition’s AI software engineer, actually do? In this video, we put Devin through a real engineering workflow by building an Agentic RAG system from end to end — while exploring the capabilities that make Devin more than…
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